Prevalence of bovine coronavirus in cattle in China: A systematic review and meta-analysis

牛冠状病毒 腹泻 兽医学 中国 流行 荟萃分析 痢疾 环境卫生 生物 传统医学 医学 疾病 2019年冠状病毒病(COVID-19) 地理 微生物学 人口 内科学 传染病(医学专业) 考古
作者
Hong-Li Geng,Xiang-Zhu Meng,Wei-Lan Yan,Xiaoman Li,Jing Jiang,Hong‐Bo Ni,Wenhua Liu
出处
期刊:Microbial Pathogenesis [Elsevier BV]
卷期号:176: 106009-106009 被引量:22
标识
DOI:10.1016/j.micpath.2023.106009
摘要

Bovine coronavirus (BCoV) is one of the important pathogens that cause calf diarrhea (CD), winter dysentery (WD), and the bovine respiratory disease complex (BRDC), and spreads worldwide. An infection of BCoV in cattle can lead to death of young animals, stunted growth, reduced milk production, and milk quality, thus bringing serious economic losses to the bovine industry. Therefore, it is necessary to prevent and control the spread of BCoV. Here, a systematic review and meta-analysis was conducted to assess the prevalence of BCoV in cattle in China before 2022. A total of 57 articles regarding the prevalence of BCoV in cattle in China were collected from five databases (PubMed, ScienceDirect, CNKI, VIP, and Wan Fang). Based on the inclusion criteria, a total of 15,838 samples were included, and 6,136 were positive cases. The overall prevalence of BCoV was 30.8%, with the highest prevalence rate (60.5%) identified in South China and the lowest prevalence (15.6%) identified in Central China. We also analyzed other subgroup information, included sampling years, sample sources, detection methods, breeding methods, age, type of cattle, presence of diarrhea, and geographic and climatic factors. The results indicated that BCoV was widely prevalent in China. Among all subgroups, the sample sources, detection methods, breeding methods, and presence or absence of diarrheal might be potential risk factors responsible for BCoV prevalence. It is recommended to strengthen the detection of BCoV in cattle, in order to effectively control the spread of BCoV.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
rodger完成签到,获得积分10
刚刚
ee应助qwert118采纳,获得10
刚刚
hj关闭了hj文献求助
1秒前
ding应助TranYan采纳,获得10
2秒前
因心发布了新的文献求助10
2秒前
3秒前
3秒前
小二郎应助务实珊采纳,获得10
3秒前
深情安青应助Wzzzz采纳,获得10
3秒前
打打应助爱吃溜溜梅采纳,获得10
4秒前
4秒前
5秒前
深情安青应助含蓄的沉鱼采纳,获得10
6秒前
6秒前
椰果爱完成签到 ,获得积分10
7秒前
8秒前
LLLLLLLL发布了新的文献求助10
8秒前
脑洞疼应助淡定的山柏采纳,获得10
8秒前
舒适伟诚完成签到,获得积分10
8秒前
哆啦小鱼发布了新的文献求助10
8秒前
9秒前
好名字发布了新的文献求助10
10秒前
biofreak发布了新的文献求助10
10秒前
研友_EZ1aNZ发布了新的文献求助10
10秒前
爆米花应助温柔悲采纳,获得10
10秒前
小飞123发布了新的文献求助10
11秒前
cossen完成签到,获得积分0
12秒前
老实枕头完成签到,获得积分10
13秒前
13秒前
lucy完成签到,获得积分20
14秒前
朱春阳发布了新的文献求助10
14秒前
小林发布了新的文献求助10
14秒前
14秒前
14秒前
15秒前
accepted发布了新的文献求助10
16秒前
在水一方应助舒适伟诚采纳,获得30
16秒前
xjl0263完成签到,获得积分10
17秒前
18秒前
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6370318
求助须知:如何正确求助?哪些是违规求助? 8184259
关于积分的说明 17266518
捐赠科研通 5424904
什么是DOI,文献DOI怎么找? 2870073
邀请新用户注册赠送积分活动 1847081
关于科研通互助平台的介绍 1693826